tech
AI & Tech Development
Token costs, database sizing, API pricing, and cloud infrastructure math for engineers.
Our AI & Tech Development category serves developers, data engineers, and system architects who need precise estimates for cloud resources and AI APIs. Guides detail mathematical modeling of token counts, prompt caching discounts, vector database storage overheads, and network egress costs. Each article includes reference metrics, cost comparison tables, and direct links to the matching developer calculator.
2 articles in this category
Vector Database Sizing: Estimate RAM and Storage
Estimate vector bytes, metadata payload, and simplified HNSW or IVF overhead—then validate RAM, disk, replicas, and headroom with your database.
LLM Token Pricing: Estimate API Cost Correctly
Estimate LLM API cost from input, cached input, output, sessions, and chat-history growth—then verify current provider rates before budgeting.
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Popular ai & tech development calculators
Use these calculators alongside the guides above to run the numbers for your specific situation.
AI Tokens & Cost Calculator
Estimate tokens, simulate prompt caching savings, compare API costs across leading LLM models, and calculate multi-turn chat context growth.
Subnet Calculator
Calculate CIDR notation, subnet masks, usable host counts, and IP address ranges instantly for accurate network planning.
Vector DB Storage & RAM Estimator
Estimate the RAM and disk storage capacity needed for vector databases based on embedding dimensions and total vector count.
Serverless Compute & Cost Estimator
Estimate monthly cloud function costs, billable GB-seconds, and evaluate cold start latency overhead for serverless applications.
Cloud Storage & Egress Cost Calculator
Compare bandwidth transfer and data egress costs across AWS, Google Cloud, Azure, and Cloudflare R2 storage providers instantly.
Database Sharding & Capacity Planner
Model database shard divisions, estimate node capacity, replication storage footprints, and IOPS requirements instantly for free.
FAQ
Frequently asked questions
How do I estimate cloud costs before deploying?+
Break the estimate into compute, storage, and data transfer, because egress is the line most often underestimated. Our Serverless Compute & Cost Estimator covers request volume and execution time, while the Cloud Storage & Egress Cost Calculator handles stored data and the cost of moving it out of the provider network.
How much GPU memory do I need to run or train a model?+
Requirements scale with parameter count, numeric precision, batch size, and sequence length. Inference needs roughly enough memory to hold the weights at your chosen precision, while training also needs room for gradients and optimiser state, which multiplies the requirement several times over. Our GPU VRAM & AI Model Training Estimator calculates both cases.
How do I work out a subnet range?+
The prefix length sets how many bits identify the network and how many remain for hosts. A /24 leaves 8 host bits, giving 256 addresses, of which 254 are usable once the network and broadcast addresses are reserved. Our Subnet Calculator returns the network address, broadcast address, usable range, and host count for any CIDR block.